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Title: A graph-based computational framework for simulation and optimisation of coupled infrastructure networks

Here, we present a computational framework that facilitates the construction, instantiation, and analysis of large-scale optimization and simulation applications of coupled energy networks. The framework integrates the optimization modeling package PLASMO and the simulation package DMNetwork (built around PETSc). These tools use a common graphbased abstraction that enables us to achieve compatibility between data structures and to build applications that use network models of different physical fidelity. We also describe how to embed these tools within complex computational workflows using SWIFT, which is a tool that facilitates parallel execution of multiple simulation runs and management of input and output data. We discuss how to use these capabilities to target coupled natural gas and electricity systems.
Authors:
 [1] ;  [2] ;  [2] ;  [2] ;  [1]
  1. Univ. of Wisconsin-Madison, Madison, WI (United States)
  2. Argonne National Lab. (ANL), Argonne, IL (United States)
Publication Date:
Grant/Contract Number:
AC02-06CH11357
Type:
Accepted Manuscript
Journal Name:
IET Generation, Transmission, & Distribution
Additional Journal Information:
Journal Volume: 11; Journal Issue: 12; Journal ID: ISSN 1751-8687
Publisher:
Institution of Engineering and Technology
Research Org:
Argonne National Lab. (ANL), Argonne, IL (United States)
Sponsoring Org:
USDOE Office of Science (SC)
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING; 42 ENGINEERING; graph; instantiation; large-scale; optimization; parallel; simulation; workflows; power engineering computing; optimisation; power system simulation
OSTI Identifier:
1393955

Jalving, Jordan, Abhyankar, Shrirang, Kim, Kibaek, Hereld, Mark, and Zavala, Victor M. A graph-based computational framework for simulation and optimisation of coupled infrastructure networks. United States: N. p., Web. doi:10.1049/iet-gtd.2016.1582.
Jalving, Jordan, Abhyankar, Shrirang, Kim, Kibaek, Hereld, Mark, & Zavala, Victor M. A graph-based computational framework for simulation and optimisation of coupled infrastructure networks. United States. doi:10.1049/iet-gtd.2016.1582.
Jalving, Jordan, Abhyankar, Shrirang, Kim, Kibaek, Hereld, Mark, and Zavala, Victor M. 2017. "A graph-based computational framework for simulation and optimisation of coupled infrastructure networks". United States. doi:10.1049/iet-gtd.2016.1582. https://www.osti.gov/servlets/purl/1393955.
@article{osti_1393955,
title = {A graph-based computational framework for simulation and optimisation of coupled infrastructure networks},
author = {Jalving, Jordan and Abhyankar, Shrirang and Kim, Kibaek and Hereld, Mark and Zavala, Victor M.},
abstractNote = {Here, we present a computational framework that facilitates the construction, instantiation, and analysis of large-scale optimization and simulation applications of coupled energy networks. The framework integrates the optimization modeling package PLASMO and the simulation package DMNetwork (built around PETSc). These tools use a common graphbased abstraction that enables us to achieve compatibility between data structures and to build applications that use network models of different physical fidelity. We also describe how to embed these tools within complex computational workflows using SWIFT, which is a tool that facilitates parallel execution of multiple simulation runs and management of input and output data. We discuss how to use these capabilities to target coupled natural gas and electricity systems.},
doi = {10.1049/iet-gtd.2016.1582},
journal = {IET Generation, Transmission, & Distribution},
number = 12,
volume = 11,
place = {United States},
year = {2017},
month = {4}
}